Robotics & Machine Learning Daily News2024,Issue(Jul.2) :127-128.

Findings from North Carolina Agricultural and Technical State University Provide s New Data about Machine Learning (Optimizing Landslide Susceptibility Mapping U sing Machine Learning and Geospatial Techniques)

北卡罗莱纳州立农业技术大学的研究结果提供了关于机器学习的新数据(利用机器学习和地理空间技术优化滑坡易感性绘图)

Robotics & Machine Learning Daily News2024,Issue(Jul.2) :127-128.

Findings from North Carolina Agricultural and Technical State University Provide s New Data about Machine Learning (Optimizing Landslide Susceptibility Mapping U sing Machine Learning and Geospatial Techniques)

北卡罗莱纳州立农业技术大学的研究结果提供了关于机器学习的新数据(利用机器学习和地理空间技术优化滑坡易感性绘图)

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摘要

由一名新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-关于机器学习的详细数据已经呈现。根据NewsRx编辑在北卡罗来纳州格林斯伯勒的新闻报道,研究表明,“山体滑坡给人类生命、环境和基础设施带来了巨大风险。因此,通过检查过去山体滑坡与各种地质环境因素之间的相关性来揭示未来容易发生山体滑坡的地区至关重要。”这项研究的财政支持来自美国交通部(NCDO T)。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on Machine Learning have been presented. According to news reporting out of Greensboro, North Carolina, by NewsRx editors, research stated, “Landslides present a substantial risk to hu man lives, the environment, and infrastructure. Consequently, it is crucial to h ighlight the regions prone to future landslides by examining the correlation bet ween past landslides and various geoenvironmental factors.” Financial support for this research came from Department of Transportation (NCDO T) , United States.

Key words

Greensboro/North Carolina/United State s/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/North Carolina Agricultural and Technical State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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